Salary: £80,000 - 90,000 per year Requirements: We require solid experience in Data Engineering or Data Architecture, with at least 4 years specialising in Snowflake platform design and governance. We require mastery of data warehouse design methodologies, including Inmon, Kimball, and Data Vault 2.0, with the judgment to apply the right pattern for each use case. We require expert-level SQL and Python skills. We require hands-on experience with dbt or equivalent transformation frameworks. We require a strong understanding of AWS IAM, S3 data lake patterns, and PrivateLink for cross-cloud data connectivity. We require practical experience architecting data infrastructure for AI/ML consumption, including vector databases, embedding stores, and RAG pipeline integration. We require strong interpersonal skills and the ability to translate complex data architecture into clear language for Business Analysts and non-technical stakeholders. Responsibilities: We will define Star Schema patterns, Snowflake object hierarchies, and modelling conventions that serve as the group-wide standard for all data products. We will design and implement secure, high-throughput data pipelines connecting AWS S3 and Azure APIs through Snowflake, ensuring data integrity, lineage tracking, and end-to-end auditability. We will own the full security model for the Snowflake platform, including RBAC policy design, dynamic data masking, row-level security, and comprehensive audit logging across all environments. We will monitor Snowflake credit consumption, identify and remediate high-cost query anti-patterns, and implement warehouse scheduling strategies to reduce operational data spend. We will architect data stores purpose-built for LLM consumption, including vector databases, embedding pipelines, and RAG-compatible data structures for our AI product layer. We will partner with Business Analysts to define and document data contracts between systems, creating clear and agreed interfaces between producers and consumers across the data platform. Technologies: AI AWS Architect Azure Cloud Data Vault Data Warehouse IAM LLM Python RBAC SQL Security Snowflake dbt More: We are a well-established, diversified multinational organisation seeking a Snowflake / Data Architect to join our team. The role is based in Wembley, London, and requires five days on-site. We offer a salary of up to £90,000 per annum. This is an opportunity to help shape our group-wide data standards, strengthen our Snowflake governance, and build AI-ready data foundations for our future product layer. last updated 21 week of 2026